Senior Data Engineer

Requirements:

• Data Processing & Programming: Spark, PySpark, SQL
• Data Modeling & Architecture: Data warehousing, Data lakes, Data pipelines
• Additional Data Skills: Data quality frameworks (SODA, Great Expectations)
• Project Management & Methodologies: Agile (Scrum, SAFe), Jira, Confluence
• Languages & Tools: Python, SQL
• Languages: English (MUST)
• Infrastructure as Code & CI/CD: Terraform, Jenkins
• Other Cloud Platforms (Optional): AWS, Google Cloud
• Soft Skills: Strong communication skills, Problem‑solving mindset, Collaborative attitude

In this role you will:

• Ensure data security, governance, and compliance (IAM, encryption, VPC, logging)
• Design and implement monitoring, alerting, and observability for data platforms and pipelines
• Integrate and manage monitoring tools such as Datadog, Prometheus,...